Authors
Gregory Wheeler
Frankfurt School Of Finance And Management
Abstract
This essay presents results about a deviation from independence measure called focused correlation . This measure explicates the formal relationship between probabilistic dependence of an evidence set and the incremental confirmation of a hypothesis, resolves a basic question underlying Peter Klein and Ted Warfield's ‘truth-conduciveness’ problem for Bayesian coherentism, and provides a qualified rebuttal to Erik Olsson's claim that there is no informative link between correlation and confirmation. The generality of the result is compared to recent programs in Bayesian epistemology that attempt to link correlation and confirmation by utilizing a conditional evidential independence condition. Several properties of focused correlation are also highlighted. Introduction Correlation Measures 2.1 Standard covariance and correlation measures 2.2 The Wayne–Shogenji measure 2.3 Interpreting correlation measures 2.4 Correlation and evidential independence Focused Correlation Conclusion Appendix CiteULike Connotea Del.icio.us What's this?
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DOI 10.1093/bjps/axn048
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References found in this work BETA

Bayesian Epistemology.Luc Bovens & Stephan Hartmann - 2003 - Oxford: Oxford University Press.
Is Coherence Truth Conducive?Tomoji Shogenji - 1999 - Analysis 59 (4):338–345.

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Citations of this work BETA

The Epistemic Value of Expert Autonomy.Finnur Dellsén - 2018 - Philosophy and Phenomenological Research (2):344-361.
New Hope for Shogenji's Coherence Measure.Jonah N. Schupbach - 2011 - British Journal for the Philosophy of Science 62 (1):125-142.
On the Evidential Import of Unification.Wayne C. Myrvold - 2017 - Philosophy of Science 84 (1):92-114.
Demystifying Dilation.Arthur Paul Pedersen & Gregory Wheeler - 2014 - Erkenntnis 79 (6):1305-1342.

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